A survey on semantic processing techniques

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3AYA83ZWZC" target="_blank" >RIV/00216208:11320/25:YA83ZWZC - isvavai.cz</a>

Result on the web

<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172881772&doi=10.1016%2fj.inffus.2023.101988&partnerID=40&md5=76336b2dcb9ae56e7cfdc55ec899240c" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172881772&doi=10.1016%2fj.inffus.2023.101988&partnerID=40&md5=76336b2dcb9ae56e7cfdc55ec899240c</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.inffus.2023.101988" target="_blank" >10.1016/j.inffus.2023.101988</a>

Result language

angličtina

Original language name

A survey on semantic processing techniques

Original language description

Semantic processing is a fundamental research domain in computational linguistics. In the era of powerful pre-trained language models and large language models, the advancement of research in this domain appears to be decelerating. However, the study of semantics is multi-dimensional in linguistics. The research depth and breadth of computational semantic processing can be largely improved with new technologies. In this survey, we analyzed five semantic processing tasks, e.g., word sense disambiguation, anaphora resolution, named entity recognition, concept extraction, and subjectivity detection. We study relevant theoretical research in these fields, advanced methods, and downstream applications. We connect the surveyed tasks with downstream applications because this may inspire future scholars to fuse these low-level semantic processing tasks with high-level natural language processing tasks. The review of theoretical research may also inspire new tasks and technologies in the semantic processing domain. Finally, we compare the different semantic processing techniques and summarize their technical trends, application trends, and future directions. © 2023 Elsevier B.V.

Czech name

—

Czech description

—

Type

J_SC - Article in a specialist periodical, which is included in the SCOPUS database

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

—

Continuities

—

Publication year

2024

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Information Fusion

ISSN

1566-2535

e-ISSN

—

Volume of the periodical

101

Issue of the periodical within the volume

2024

Country of publishing house

US - UNITED STATES

Number of pages

60

Pages from-to

1-60

UT code for WoS article

—

EID of the result in the Scopus database

2-s2.0-85172881772